Questions
If you've read and understood this chapter, you should be able to answer these questions:
- What is a generative model?
- Which applications exist for generative models?
- What's a large language model (LLM) and what does it do?
- How can we get bigger performance from LLMs?
- What are the conditions that make these models possible?
- Which companies and organizations are the big players in developing LLMs?
- What is a transformer and what does it consist of?
- What does GPT mean?
- How does stable diffusion work?
- How is stable diffusion trained?
If you struggle to answer these questions, please refer back to the corresponding sections in this chapter to make sure you've understood the material.
